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1

Ensuring Equal Bandwidth for Remote Connections to the Local Company Server

Muc Adam, Muchowski Tomasz, Kluczyk Marcin, Szeleziński Adam

Multidisciplinary Aspects of Production Engineering

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2020

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Vol. 3, Iss. 1

285--295

EN

Creating the required IT infrastructure to enable the ability for comfortable remote working is not an easy task. Improper configuration can create the possibility of taking over the whole bandwidth of the link by one device. Increasing bandwidth introduces extra costs and does not completely eliminate the problem – it will be more difficult to take over the whole bandwidth, but it is still possible. The solution to the problem may be the use of clouds and VPS, but it is associated with high costs and the need to entrust company data to providers of these services. Due to security and too high costs, this may not be an optimal solution. An alternative solution may be to use QoS along with PCQ. This mechanism allows to ensure equal division of the bandwidth between the devices under its control. With an appropriate configuration, QoS can eliminate the problem of taking over the whole bandwidth and ensure equal access to resources.

2

Fuzzy multi agent system for automatic classification and negotiation of QOS in cloud computing

Bakraouy Zineb, Abbass Wissam, Baina Amine, Bellafkih Mostafa

Journal of Automation Mobile Robotics and Intelligent Systems

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2020

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Vol. 14, No. 3

56--64

EN

The use of Multi Agents Systems (MAS), Cloud Computing (CC) and Fuzzy Inference System (FIS) in e-commerce has increased in recent years. The purpose of these systems is to enable users of electronic markets to make transactions in the best conditions and to help them in their decisions. The design and implementation is often characterized by the constant manipulation of information, many of which are imperfect. The use of the multi-agent paradigm for the realization of these systems implies the need to integrate mechanisms that take into account the processing of fuzzy information. This makes it necessary to design multi-agent systems (MAS) with fuzzy characteristics. For the modeling and realization of this system, we chose to use the FMAS model. This paper deals with the presentation of the use of the Fuzzy MAS model for the development of a management and decision support application in a virtual market with high availability. After the presentation of the system to be realized in the first section, we describe in the second section the application of the model FMAS for the design and the realization of this system. We then specify the JADE implementation platform and how the fuzzy agents of our model (Expert, Choice and Query) can be implemented using this platform.

3

Stosowanie QOS wraz z PCQ w laboratoriach uczelnianych w celu nadzorowanego współdzielenia dostępu do laboratoryjnych serwerów przez studentów

Muchowski Tomasz, Muc Adam, Szeleziński Adam

Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej

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2019

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Nr 65

87--94

PL

W pracy przedstawiono metodę konfiguracji sieci lokalnej na potrzeby laboratoriów komputerowych. Zastosowano QoS (ang. Quality of Service) z PCQ (ang. Per Connection Queueing) w celu zapewnienia studentom dostępu o równej przepustowości do serwerów laboratoryjnych. Metoda ta umożliwia zarówno priorytetyzację konkretnego ruchu sieciowego, ograniczanie przepustowości do konkretnych, z góry ustalonych wartości, jak i gwarantowanie prędkości transferu na poziomie przepływności pozostałych użytkowników. Metoda ta jest skalowalna i możliwa do zastosowania w większości routerów programowalnych.

EN

The paper presents a method of configuring the computers laboratiories’ local network. The QOS with PCQ was used in order to guarantee an equal bandwith for students connecting to laboratories’ servers. This method allows both prioritizing specific type of network traffic, limiting bandwith to pre-established values and guarantiing the same bandwith for every user. This metod is scalable and can be applied by using most of programmable routers. A basic configuration of QoS with PCQ that made clients get equal bandwith was presented in the second chapter. This configuration consisted of one parent query that created a structure in which sub-queries configured with PCQ were placed. The third chapter showed a configuration that pioritized traffic on specific port (port 22) above other taffic. This configuration was also configured with PCQ to share the bandwith equaly for every client that made prioritized traffic. In order to create the configuration, firewall mangle rules were created to mark connections (upload and download) and to mark packets (packets send or received on port 22 and packets not send or received on this port). The marks were used to allow QoS to select the packets that were ment to be prioritized and give them the highest priority. In collaboration with PCQ the configuration prioritized port 22 traffic while splitting the bandwith equaly amongst clients.